Titlebook: Intelligent Systems Applications in Software Engineering; Proceedings of 3rd C Radek Silhavy,Petr Silhavy,Zdenka Prokopova Conference proce

Conjuction

gnarled

Influencing Factors of Mobile Technology Adoption by Small Holder Farmers in Zimbabwe,nce the adoption of this technology among small holder farmers in Zimbabwe. The study informs policy makers and technology startup companies to adopt appropriate strategies to encourage the adoption of mobile technology among small holder farmers having different demographic characteristics and other influencing factors highlighted in the study.

诱惑

Use of Multiple Data Sources in Collaborative Data Mining,eather stations. The research proposes a model of the data mining process for a collaborative variant with multiple sources. This leads to the conclusion that a collaborative approach generates better results than a standalone one.

细胞学

Framework for Controlling Interference and Power Consumption on Femto-Cells In-Wireless System,ed. Adopting analytical research methodology, the proposed model offers on-demand utilization of the selective femto-cells on the basis of the traffic demands. The study outcome shows that proposed system offers better performance in contrast to existing approach.

frenzy

Using Growing Neural Gas Networks for Clustering of Web Data as a Foundation for Marketing Automati from online data sources and mapping them to a grid model of Germany at the level of 1 km.. The clustering is conducted using methods of Machine Learning, in particular Growing Neural Gas (GNG), a neural network variation. The resulting store clusters are then tested for the purpose of location spe

管理员

Development Method of Building a Modular Simulator of Quantum Computations and Algorithms,strategy is that all these assessments can be carried out in parallel. In this paper, an assessment was made of the complexity of a particular algorithm based on the complexity function and a universal formula for calculating it was derived. The basics of developing quantum algorithms are described

引起

狼群

GPA-ES Algorithm Modification for Large Data,r and more efficient than evolution of whole training data set in each evolutionary step of GPA algorithm. This modification can be starting point of future applications of GPA in the field of large and big data analytic.

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